Probability on Trees and Networks

Nonfiction, Science & Nature, Mathematics, Discrete Mathematics, Statistics
Cover of the book Probability on Trees and Networks by Russell Lyons, Yuval Peres, Cambridge University Press
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Author: Russell Lyons, Yuval Peres ISBN: 9781316784372
Publisher: Cambridge University Press Publication: January 20, 2017
Imprint: Cambridge University Press Language: English
Author: Russell Lyons, Yuval Peres
ISBN: 9781316784372
Publisher: Cambridge University Press
Publication: January 20, 2017
Imprint: Cambridge University Press
Language: English

Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete proofs and more than 850 exercises. Many recent developments, in which the authors have played a leading role, are discussed, including percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding in Hilbert space. This state-of-the-art account of probability on networks will be indispensable for graduate students and researchers alike.

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Starting around the late 1950s, several research communities began relating the geometry of graphs to stochastic processes on these graphs. This book, twenty years in the making, ties together research in the field, encompassing work on percolation, isoperimetric inequalities, eigenvalues, transition probabilities, and random walks. Written by two leading researchers, the text emphasizes intuition, while giving complete proofs and more than 850 exercises. Many recent developments, in which the authors have played a leading role, are discussed, including percolation on trees and Cayley graphs, uniform spanning forests, the mass-transport technique, and connections on random walks on graphs to embedding in Hilbert space. This state-of-the-art account of probability on networks will be indispensable for graduate students and researchers alike.

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